Catalogue

Record Details

Catalogue Search


Back To Results
Showing Item 2 of 18

Statistics for advanced practice nurses and health professionals  Cover Image E-book E-book

Statistics for advanced practice nurses and health professionals

Stommel, Manfred (author.). Dontje, Katherine J., (author.).

Summary: "This comprehensive, graduate-level text for advanced practice nurses and other health care professionals provides state-of-the-art tools that facilitate the reading and interpretation of articles in clinical journals that use increasingly complex statistical techniques. It goes beyond the usual offerings of such texts to address clinically relevant topics in bio-statistics such as survival analysis and evaluation of screening tests. The text emphasizes the importance of understanding the underlying logic of statistical texts and models in order to correctly interpret them and effectively translate them into practice. It will also help readers to choose appropriate statistical methods for conducting their own translational research. With a focus on disseminating information in easily understandable language, the text addresses basic statistical reasoning and four different classes of statistical models. It provides refreshers on the algebraic underpinnings of statistics in the appendices and more complex algebraic derivations in highlighted boxes throughout the text. This includes how to manipulate the exponential expressions and logarithms necessary for logistic and hazard regression models. The book also features clear explanations of more sophisticated statistical models, inference, and analyses. Chapters present examples from current research and multiple exercises designed to reinforce learning. These include both hand calculations and data analysis using SPSS or STATA software. Additionally, data sets for practice are available from the Springer Publishing website with instructions for producing output shown in the text in SPSS, STATA, SAS, and Microsoft Excel formats. A chapter on data management practices and ethical issues of privacy maintenance is also included"--Provided by publisher

Record details

  • ISBN: 0826198244
  • ISBN: 9780826198242
  • ISBN: 0826198252
  • ISBN: 9780826198259
  • Physical Description: 1 online resource (ix, 339 pages)
    remote
  • Publisher: New York, NY : Springer Publishing Company, [2014]

Content descriptions

Bibliography, etc. Note: Includes bibliographical references and index.
Formatted Contents Note: Introductin: the role of statistics in research and clinical practice -- Properties of variables: levels of measurement -- Descriptive univariate statistics -- Probabilities -- Logic of statistical inference: the sampling distribution and significance tests -- Standard errors, confidence intervals and the power of statistical tests -- Research designs and statistical analysis -- T-test -- Oneway analysis of variance -- Linear regression and Pearson's r correlation -- Factorial analysis of variance and analysis of covariance -- Multiple linear regression -- Repeated measures analysis of variance -- Introduction to mixed-effects regression models -- Non-parametric/ordinal statistics -- Frequency cross-tabulations: 2x2 tables -- Logistic regression with one independent variable -- Logistic regression models with multiple predictors -- Incidence rates, life tables and survival function -- Comparing survival functions in different groups and hazard regression -- Reliability coefficients and medical test evaluation -- Factor analysis -- Data management and privacy concerns.
Language Note:
English.
Source of Description Note:
Print version record.
Subject: Nursing -- Statistical methods
Clinical medicine -- Statistical methods
Biometry
Medical statistics
Statistics
Nurse practitioners
Statistics as Topic
Biometry
Clinical Nursing Research -- methods
Nurse Practitioners
Médecine clinique -- Méthodes statistiques
Biométrie
Statistiques
Infirmières cliniciennes
Statistique
biometrics
statistics
HEALTH & FITNESS -- Holism
HEALTH & FITNESS -- Reference
MEDICAL -- Alternative Medicine
MEDICAL -- Atlases
MEDICAL -- Essays
MEDICAL -- Family & General Practice
MEDICAL -- Holistic Medicine
MEDICAL -- Osteopathy
Statistics
Nurse practitioners
Biometry
Clinical medicine -- Statistical methods
Medical statistics
Nursing -- Statistical methods
Genre: electronic book > ebook
Nurses Instruction
Medical statistics
Medical statistics.

  • Doody's Reviews : DOODY
    This review of basic statistical tests and their application to healthcare research is designed to help nurses evaluate research studies to find the best evidence for clinical nursing practice. According to the authors, "the overall goal of this book is to provide the learner with a larger range of statistical models and concepts, which are used in clinical research and as a basis for evidence-based clinical practice," a worthy goal they meet. The intended audience is graduate healthcare students, specifically students in doctor of nursing practice (DNP) programs and other advanced healthcare providers. Both authors are professors with extensive research experience, and one is the director of graduate clinical programs and a nurse practitioner. The first of the book's six sections discusses statistical concepts including design and statistical analysis. The next three describe models for various types of studies. Section five discusses measurement models and section six describes data management issues. The book includes statistical formulas with computation of statistics in the examples. One unique feature is access to online datasets for SPSS, SAS, STATA, and Excel that students can use. One problem area that I have seen with DNP students is selecting a design for their capstone projects. The chapter on design is brief and doesn't give enough information to assist in design choice. This is a unique book that focuses more on working statistical problems than discovering the appropriate statistics to use for a project/clinical problem. While it is useful to understand the computation of statistics, it is more useful for students to understand the mechanics of entering data into a computer program and applying the data to their project. 0.96. Michalene A King, PhD, RN, CNE(Robert Morris University). Copyright 2016 Doody Reviews.
Back To Results
Showing Item 2 of 18

Additional Resources